Rowspace Raises $50M for Private Equity AI

Rowspace was founded by two MIT graduates, CEO Michael Manapat and COO Yibo Ling. Manapat previously built the machine learning systems at Stripe and served as CTO for Notion's AI expansion, while Ling is a two-time CFO who led finance teams at Uber and Binance. The company's mission is to solve the problem of fragmented institutional knowledge. Private equity firms possess decades of valuable insights scattered across deal memos, financial models, and old emails, which general AI models struggle to interpret with the precision high-stakes finance requires. Rowspace's platform unifies a firm's entire history of structured and unstructured data into a single, searchable intelligence layer. Crucially, it processes all this information inside a client's own cloud environment, meaning the firm's proprietary data never leaves its control. The $50 million came from a seed round led by Sequoia and a Series A co-led by Sequoia and Emergence Capital. Stripe, Conviction, Basis Set, and Twine also participated, signaling a blend of traditional venture capital and strategic fintech backing. Despite just emerging from stealth, Rowspace already serves major private equity and credit firms managing assets ranging from hundreds of billions to nearly a trillion dollars. Approximately ten of these top firms are on seven-figure annual contracts. The platform is designed to integrate directly into existing workflows, delivering insights within tools like Excel and Microsoft Teams. The goal is to allow a junior analyst to leverage decades of a firm's cumulative experience, effectively making decisions with the knowledge of a senior partner. This move reflects a broader trend of vertical-specific AI, as the private equity industry races to adopt data-driven decision-making. Large firms like Blackstone and EQT have already been building their own proprietary AI platforms to gain a competitive edge in deal sourcing and analysis.